Senior Data Analyst

Centrifuge; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

As the first Data Analyst at a leading company, you will support a dynamic Data Science team in driving data-led decision-making. This role requires a blend of expertise in business intelligence, programming skills, and a passion for impactful visualizations, all while thriving in a fast-paced environment.

Qualifikationen

• 4+ years of hands-on work experience as a data analyst.
• Extensive experience in business intelligence, especially in data visualization.
• Advanced knowledge of SQL and programming in high-level languages.

Aufgaben

• Contribute to BI efforts, maintaining and enhancing KPIs and dashboards.
• Work with diverse datasets including blockchain transactions and user behavior.
• Thrive in a scientific environment where key decisions are data-driven.

Kenntnisse

Data visualization

SQL

Python

Data wrangling

Attention to detail

Business economics understanding

Curiosity

Ausbildung

Bachelor’s degree in a quantitative field

Tools

Tableau

PowerBI

Metabase

Looker

Jobbeschreibung

About the Company:

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

About the team:

The Data Science team is responsible for deriving data-driven insights to support World’s key decisions. Because of our unique growth model of using a global network of Orb Operators to verify individuals’ unique humanness, we require a high-performing Data Science team that is able to manage and analyze large amounts of data generated by our products and operations. World’s privacy-maximizing approach imposes unique restrictions on how data is collected, stored, and used, making data science innovations critical to derive useful insights. We have earned a reputation for our technical expertise, hands-on approach, responsiveness, precision, and impactful solutions.

About the Opportunity:

As our first Data Analyst, you will support and collaborate with an existing team of three Data Scientists and a Statistician. You will work alongside the Data Scientists to build data-driven models and generate insights through data analysis and reporting. The role has a strong focus on Business Intelligence, as the Data Science team and its stakeholders rely heavily on BI reporting and data visualization to make key decisions in fast-paced environments. In addition to working closely with the core members of the Data Science team, you will also engage and collaborate with other teams within the broader Data Science & Economics group, including Economics and Fraud & Risk Analytics.

In this role, you will:

• Contribute to the Business Intelligence (BI) efforts of the Data Science (DS) team, including maintaining and enhancing existing KPIs and dashboards.

• Work with diverse and exciting datasets spanning the Product space (e.g., user in-app behavior, notifications, experiments), blockchain transactions, and market operations.

• Thrive in a data-driven and scientific environment where every key decision is supported by thorough data analysis.

About You:

• Bachelor’s degree in a quantitative field like economics, computer science, statistics, or similar

• 4+ years of hands-on work experience as a data analyst; experience in start-ups or fast paced environments is a plus

• Extensive experience in business intelligence (in particular data visualization); experience with BI tools like Metabase, Tableau, Looker, or PowerBI is a plus

• Passionate about high-quality data visualizations that are accessible to non-experts, maintained with high attention to detail

• Good understanding of business economics and financial concepts; prior experience working with economic/financial data a plus

• Advanced working knowledge of SQL; knowledge of DBT is a plus.

• Programming experience in at least one high-level programming language (e.g., Python)

• Experience in data wrangling needed to transform complex, noisy datasets into a form suitable for analysis

• Must be curious and autonomous in their work, with a strong sense of ownership being essential.

• Practically oriented and “getting-the-job-done” mindset

• Thriving in a fast-paced and continuously evolving environment